Triple
T3869990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Sasima |
E91958
|
entity |
| Predicate | tenureCharacteristic |
P51579
|
FINISHED |
| Object | reluctantly accepted by Gregory of Nazianzus |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: reluctantly accepted by Gregory of Nazianzus | Statement: [Bishop of Sasima, tenureCharacteristic, reluctantly accepted by Gregory of Nazianzus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenureCharacteristic Context triple: [Bishop of Sasima, tenureCharacteristic, reluctantly accepted by Gregory of Nazianzus]
-
A.
tenureType
Indicates the type or category of tenure or contractual engagement that characterizes the relationship between the involved entities.
-
B.
tenureDependsOn
Indicates that the duration or continuation of one entity’s tenure is conditional on or determined by another specified factor or entity.
-
C.
lifeTenure
Indicates that an individual holds a position or office for the duration of their lifetime, without a fixed term limit or routine reappointment.
-
D.
endOfTenure
Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
-
E.
teamTenure
Indicates the duration or length of time an entity has been part of a particular team.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec533828819080f52dae15fdbecd |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:20 p.m.